Data Scientist / ML Engineer

Chennai - India

Monthly Salary: 120000 - 120000

Experience Required: 4-5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Apply strong fundamentals and academic knowledge of Machine Learning algorithms and statistics to real-world problems.
Work with medium to large-scale datasets including time-series anomaly detection text and image data.
Conduct exploratory data analysis (EDA) curate high-quality datasets and perform error analysis for ML and software algorithms.
Design and implement ML solutions for Computer Vision NLP LLMs and VLMs.
Follow a methodical approach: formulate hypotheses prototype models and validate performance using measurable KPIs.
Leverage GenAI and Agentic AI advancements in projects.
Collaborate in international teams/projects maintaining strong communication and documentation standards.
Apply MLOps best practices ensuring reproducibility scalability and deployment readiness.
Use Docker and other containerization/orchestration tools for ML workflows.
Align ML solutions with business objectives ensuring strong business acumen in problem-solving.

Required Skills

Machine Learning Expertise: Hands-on experience with frameworks such as Scikit-learn TensorFlow PyTorch.
NLP & LLMs: Strong understanding of text embeddings transformer-based models (e.g. BERT RoBERTa GPT Hugging Face Transformers).
Vector Search & Similarity Algorithms: Proficiency in FAISS Milvus Pinecone and knowledge of cosine similarity dot-product scoring clustering methods.
Programming: Strong Python skills with NumPy Pandas Scikit-learn and ML/AI libraries.
Version Control: Proficiency with Git and collaborative coding practices.
Cloud & DevOps: Familiarity with Azure (preferred) Docker and Kubernetes.
Analytical Mindset: Curious research-driven with the ability to transition from hypothesis to validated ML solutions.
Documentation & Communication: Ability to produce high-quality documentation and work effectively in cross-functional teams.

Machine Learning, TensorFlow, PyTorch , Python, NumPy, Pandas, Kubernetes, BERT ,Transformers

Education

Bachelor s degree

Key ResponsibilitiesApply strong fundamentals and academic knowledge of Machine Learning algorithms and statistics to real-world problems.Work with medium to large-scale datasets including time-series anomaly detection text and image data.Conduct exploratory data analysis (EDA) curate high-quality d...